codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw — change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA.
Star History
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Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,316
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
codexqa gained 10 stars in the last 30 days, about 1 a day, and now has 104. It is about 1 year old and has averaged roughly 104 stars a year. It ranks #1,316 among Python repositories and #10,452 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#1338
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
codexqa has maintained a continuous presence across global trending indexes, peaking at #1338. Below is the 30-day activity profile:
💡 Overview
codexqa is an open-source project written in Python: codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw — change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, agentskills, ai-code-review. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install codexqa
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
codexqa coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with codexqa.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install codexqa using your package manager: `pip install codexqa`
Initialize your project workspace or configuration file for codexqa.
Import codexqa into your codebase or invoke it directly from your terminal.
Execute your test suite or run `codexqa --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
openqa-cn/codexqa is currently ranked #10,452 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,412 | codebar/planner | Ruby | ★ 105 | Compare ↗ |
| #10,412 | jdthomas/bayer2rgb | C | ★ 105 | Compare ↗ |
| #10,412 | zkat/sheeple | Common Lisp | ★ 105 | Compare ↗ |
| #10,412 | schacon/igithub | Objective-C | ★ 105 | Compare ↗ |
| #10,412 | lukegalea/hyperactiveresource | Ruby | ★ 105 | Compare ↗ |
| #10,452 | openqa-cn/codexqa This Project | Python | ★ 104 | |
| #10,452 | shihabal3amri/DiAuto | Kotlin | ★ 104 | Compare ↗ |
| #10,452 | drnic/github-badges | JavaScript | ★ 104 | Compare ↗ |
| #10,452 | evan/peep | Ruby | ★ 104 | Compare ↗ |
| #10,452 | jcbagneris/fms-jcb | Python | ★ 104 | Compare ↗ |
| #10,452 | apache/maven-scm | Java | ★ 104 | Compare ↗ |
Frequently Asked Questions
What does codexqa do? +
codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw — change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA.
What language is codexqa written in? +
The primary language is Python. Topics include: agent-skills, agentskills, ai-code-review, ai-testing, browser-automation.
Is codexqa actively maintained? +
Yes, the last recorded push was on Oct 1, 2026 with 4 open issues being tracked.
How many stars does codexqa have? +
codexqa has 104 stars and 2 forks on GitHub.
How does codexqa rank among GitHub repositories? +
With 104 stars, openqa-cn/codexqa is ranked #10,452 globally across all repositories tracked on GitHubRepo and #1,316 among Python projects.
What license is codexqa distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.